{"id":"W4404357204","doi":"10.18280/ts.410515","title":"Efficient Parallel Median Filter for Image Denoising: Implementation and Performance Evaluation","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Image denoising; Noise reduction; Median filter; Filter (signal processing); Computer science; Image (mathematics); Artificial intelligence; Computer vision; Mathematics; Pattern recognition (psychology); Image processing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005174956,0.0004574184,0.0006702509,0.0006060333,0.0003572988,0.0006325551,0.0008628417,0.0007318858,0.00488682],"category_scores_gemma":[0.0008221137,0.0002112854,0.000448138,0.0006759894,0.0001702882,0.0007798393,0.0002810546,0.0002792818,0.0007556896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007945002,"about_ca_system_score_gemma":0.0007602674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00409278,"about_ca_topic_score_gemma":0.003471882,"domain_scores_codex":[0.9995222,0.00004383863,0.00002150896,0.00006953462,0.0002833377,0.00005951503],"domain_scores_gemma":[0.9995835,0.0000793501,0.00003482873,0.00005179948,0.0002334855,0.00001708165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002531506,0.0005509007,0.005461865,0.0006993267,0.0002867919,0.0005432408,0.0001885207,0.126275,0.2226372,0.004708817,0.007990882,0.628126],"study_design_scores_gemma":[0.0001455309,0.001280027,0.003283633,0.00002545663,0.0001235736,0.0007373638,0.00007932172,0.8156168,0.1681684,0.0009804775,0.009516039,0.00004343273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2806535,0.001991319,0.6957368,0.0004247977,0.0001722738,0.0002669479,0.0003668791,0.005367054,0.01502033],"genre_scores_gemma":[0.7193867,0.000929118,0.2649385,0.0001121196,0.00004777691,0.0001576812,0.000583433,0.0001434893,0.01370118],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00488682,"threshold_uncertainty_score":0.016348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0385044008912636,"score_gpt":0.3371654144039073,"score_spread":0.2986610135126437,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}